diff --git a/mindspore/ccsrc/frontend/parallel/ops_info/unsorted_segment_op_info.cc b/mindspore/ccsrc/frontend/parallel/ops_info/unsorted_segment_op_info.cc
index 2d535ca31af..15bfc303bfb 100644
--- a/mindspore/ccsrc/frontend/parallel/ops_info/unsorted_segment_op_info.cc
+++ b/mindspore/ccsrc/frontend/parallel/ops_info/unsorted_segment_op_info.cc
@@ -87,7 +87,7 @@ Status UnsortedSegmentOpInfo::CheckStrategy(const StrategyPtr &strategy) {
   Shape input_b_shape = inputs_shape_.at(1);
   // The size of the input b must be equal or smaller than input a
   for (size_t i = 0; i < input_b_shape.size(); ++i) {
-    if ((sub_a_strategy[i] != sub_b_strategy[i]) && (input_a_shape[i] != input_b_shape[i])) {
+    if ((sub_a_strategy[i] != sub_b_strategy[i]) || (input_a_shape[i] != input_b_shape[i])) {
       MS_LOG(ERROR) << name_
                     << " : Invalid strategy. The shape and the strategy of the input0 and input1 "
                        "should be same before the front size of the input[1]";
diff --git a/tests/ut/python/parallel/test_unsortedsegmentsum.py b/tests/ut/python/parallel/test_unsortedsegmentsum.py
index 2f7b4648705..3085be87d62 100644
--- a/tests/ut/python/parallel/test_unsortedsegmentsum.py
+++ b/tests/ut/python/parallel/test_unsortedsegmentsum.py
@@ -14,6 +14,7 @@
 # ============================================================================
 
 import numpy as np
+import pytest
 
 import mindspore as ms
 import mindspore.nn as nn
@@ -112,6 +113,17 @@ def test_unsortedsegmentsum_model_parallel_index_slice_3d():
     compile_graph(x, y, num_segments, strategy1, strategy2)
 
 
+def test_unsortedsegmentsum_model_parallel_index_slice_diff_inputs():
+    context.set_auto_parallel_context(device_num=4, global_rank=0)
+    x = Tensor(np.ones((4, 4, 8)), ms.float32)
+    y = Tensor(np.ones((4, 4)), ms.int32)
+    num_segments = 16
+    strategy1 = (2, 2, 1)
+    strategy2 = (2, 4)
+    with pytest.raises(RuntimeError):
+        compile_graph(x, y, num_segments, strategy1, strategy2)
+
+
 def test_unsortedsegmentsum_model_parallel_vector_slice_2d():
     context.set_auto_parallel_context(device_num=4, global_rank=0)
     x = Tensor(np.ones((4, 8)), ms.float32)